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Most people do not understand the knowledge points of this article "how to install cuDNN under Linux", so the editor summarizes the following content, detailed content, clear steps, and has a certain reference value. I hope you can get something after reading this article. Let's take a look at this "how to install cuDNN under Linux" article.

NVIDIA cuDNN is a GPU acceleration library for deep neural networks. It emphasizes performance, ease of use, and low memory overhead. NVIDIA cuDNN can be integrated into a higher-level machine learning framework.

The drivers and cuda versions downloaded and installed before downloading are as follows

+-- + | NVIDIA-SMI 418.43 Driver Version: 418.43 CUDA Version: 10.1 | |- -+-so we just need to install the corresponding cudnn

Renaming format cp cudnn-10.1-linux-x64-v7.5.0.56.solitairetheme8 cudnn-10.1-linux-x64-v7.5.0.56.tgz decompression tar-xzvf cudnn-10.1-linux-x64-v7.5.0.56.tgz# decompression generates cuda file copy file $sudo cp cuda/include/cudnn.h / usr/local/cuda/include$ sudo cp cuda/lib64/libcudnn* / usr/local/cuda/lib64 $sudo Chmod astatr / usr/local/cuda/include/cudnn.h / usr/local/cuda/lib64/libcudnn* above is the content of this article on "how to install cuDNN under Linux" I believe we all have a certain understanding. I hope the content shared by the editor will be helpful to you. If you want to know more about the relevant knowledge, please pay attention to the industry information channel.

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